Copertina

Recovering Individual-Level Activity Sequences from Location-Based Service Data Using a Novel Transformer-Based Model

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Luo, Weiyu, Xiong, Chenfeng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Computational Engineering, Finance, and Science
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer
di: Hu, Linyue, et al.
Pubblicazione: (2025)

Strategic Prompt Pricing for AIGC Services: A User-Centric Approach
di: Li, Xiang, et al.
Pubblicazione: (2025)

Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading Strategy
di: Lin, Runsheng, et al.
Pubblicazione: (2025)

Enriching Location Representation with Detailed Semantic Information
di: Liu, Junyuan, et al.
Pubblicazione: (2025)

Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach
di: Estornell, Andrew, et al.
Pubblicazione: (2024)

Location-Based Service (LBS) Data Quality Metrics and Effects on Mobility Inference
di: Wu, Xinhua, et al.
Pubblicazione: (2024)

Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers
di: Zheng, Li, et al.
Pubblicazione: (2025)

Data-Efficient Model for Psychological Resilience Prediction based on Neurological Data
di: Zhang, Zhi, et al.
Pubblicazione: (2025)

DiffDA: a Diffusion Model for Weather-scale Data Assimilation
di: Huang, Langwen, et al.
Pubblicazione: (2024)

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning
di: Xu, Haowen, et al.
Pubblicazione: (2025)

EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods
di: Ding, Hongcheng, et al.
Pubblicazione: (2024)

EUR/USD Exchange Rate Forecasting incorporating Text Mining Based on Pre-trained Language Models and Deep Learning Methods
di: Ding, Hongcheng, et al.
Pubblicazione: (2024)

Federated Diabetes Prediction in Canadian Adults Using Real-world Cross-Province Primary Care Data
di: Tang, Guojun, et al.
Pubblicazione: (2024)

Newton to Einstein: Axiom-Based Discovery via Game Design
di: Ma, Pingchuan, et al.
Pubblicazione: (2025)

Research and Prototyping Study of an LLM-Based Chatbot for Electromagnetic Simulations
di: Piwonski, Albert, et al.
Pubblicazione: (2025)

Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process
di: Elaarabi, Mouad, et al.
Pubblicazione: (2026)

Retrieval Augmented Generation of Literature-derived Polymer Knowledge: The Example of a Biodegradable Polymer Expert System
di: Gupta, Sonakshi, et al.
Pubblicazione: (2026)

A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation
di: Wu, Fang
Pubblicazione: (2026)

Beyond Isolated Investor: Predicting Startup Success via Roleplay-Based Collective Agents
di: Liu, Zhongyang, et al.
Pubblicazione: (2025)

A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting
di: Lei, Yu, et al.
Pubblicazione: (2024)

Online Dispatching and Routing for Automated Guided Vehicles in Pickup and Delivery Systems on Loop-Based Graphs
di: Stubbe, Louis, et al.
Pubblicazione: (2023)

Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems
di: Sahin, Tarik, et al.
Pubblicazione: (2025)

INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent
di: Li, Haohang, et al.
Pubblicazione: (2024)

NLP-enabled Trajectory Map-matching in Urban Road Networks using a Transformer-based Encoder-decoder
di: Mohammadi, Sevin, et al.
Pubblicazione: (2024)

When Life gives you LLMs, make LLM-ADE: Large Language Models with Adaptive Data Engineering
di: Choi, Stephen, et al.
Pubblicazione: (2024)

Optimizing Sensor Placement for Flow Reconstruction in Urban Drainage Networks: A Digital Twin-Based Sparse Sensing Approach
di: Ding, Zihang, et al.
Pubblicazione: (2025)

RAG: A Random-Forest-Based Generative Design Framework for Uncertainty-Aware Design of Metamaterials with Complex Functional Response Requirements
di: Chen, Bolin, et al.
Pubblicazione: (2026)

Time Series Stock Price Forecasting Based on Genetic Algorithm (GA)-Long Short-Term Memory Network (LSTM) Optimization
di: Sha, Xinye
Pubblicazione: (2024)

A Comprehensive Survey on Root Cause Analysis in (Micro) Services: Methodologies, Challenges, and Trends
di: Wang, Tingting, et al.
Pubblicazione: (2024)

Reconstructing 3D Flow from 2D Data with Diffusion Transformer
di: Lei, Fan
Pubblicazione: (2024)

Decoding Market Emotions in Cryptocurrency Tweets via Predictive Statement Classification with Machine Learning and Transformers
di: Tash, Moein Shahiki, et al.
Pubblicazione: (2026)

A Roadmap for Applying Graph Neural Networks to Numerical Data: Insights from Cementitious Materials
di: Sharmin, Mahmuda, et al.
Pubblicazione: (2025)

RLDBF: Enhancing LLMs Via Reinforcement Learning With DataBase FeedBack
di: Dai, Weichen, et al.
Pubblicazione: (2025)

Learning Individual Dynamics from Sparse Cross-Sectional Snapshots
di: Lagemann, Christian, et al.
Pubblicazione: (2026)

Harnessing Flexible Spatial and Temporal Data Center Workloads for Grid Regulation Services
di: Fan, Yingrui, et al.
Pubblicazione: (2026)

Must: Maximizing Latent Capacity of Spatial Transcriptomics Data
di: Zang, Zelin, et al.
Pubblicazione: (2024)

Prompting for Numerical Sequences: A Case Study on Market Comment Generation
di: Kawarada, Masayuki, et al.
Pubblicazione: (2024)

PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding
di: Zhang, Ruochi, et al.
Pubblicazione: (2024)

Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
di: Szydłowski, Kamil Ł., et al.
Pubblicazione: (2024)

Customer Identification for Electricity Retailers Based on Monthly Demand Profiles by Activity Sectors and Locations
di: Luque, Joaquin, et al.
Pubblicazione: (2025)